The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2021-01-04"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "85672034 (up from 85122080 yesterday: 0.65 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1853334 (up from 1843135 yesterday: 0.55 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12801931

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.16



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 20817140 180477 0.87 4279117 353483 1903 0.54 1.70
India 10356844 16375 0.16 450679 149850 201 0.13 1.45
Brazil 7753752 20006 0.26 826607 196561 543 0.28 2.54
Russia 3226758 23015 0.72 570157 58203 473 0.82 1.80
United Kingdom 2721622 58923 2.21 846755 75547 410 0.55 2.78
France 2717059 4084 0.15 281308 65549 385 0.59 2.41
Turkey 2255607 13695 0.61 389262 21685 197 0.92 0.96
Italy 2166244 10798 0.50 310507 75680 348 0.46 3.49
Spain 1958844 30579 1.59 206960 51078 241 0.47 2.61
Germany 1796216 12320 0.69 438955 35748 957 2.75 1.99
Colombia 1686131 10311 0.62 251615 44187 222 0.50 2.62
Argentina 1648940 8222 0.50 145718 43634 152 0.35 2.65
Mexico 1455219 6464 0.45 199245 127757 544 0.43 8.78
Poland 1322947 4385 0.33 182375 29161 42 0.14 2.20
Iran 1249507 6073 0.49 133737 55650 110 0.20 4.45
South Africa 1113349 12601 1.14 247222 30011 434 1.47 2.70
Ukraine 1111631 4494 0.41 186310 19712 82 0.42 1.77
Peru 1019475 1376 0.14 34502 37830 57 0.15 3.71
Netherlands 839316 6614 0.79 207231 11770 63 0.54 1.40
Indonesia 772103 6753 0.88 148794 22911 177 0.78 2.97
Czechia 746714 6233 0.84 165635 12070 110 0.92 1.62
Belgium 650887 876 0.13 41676 19750 49 0.25 3.03
Romania 643559 3130 0.49 83972 16057 78 0.49 2.50
Chile 620641 2450 0.40 46811 16767 0 0.00 2.70
Canada 616134 10058 1.66 143314 16098 218 1.37 2.61
Iraq 598369 595 0.10 22397 12844 10 0.08 2.15
Bangladesh 516929 910 0.18 24597 7650 24 0.31 1.48
Pakistan 490476 1947 0.40 47230 10409 59 0.57 2.12
Philippines 478761 954 0.20 28028 9263 6 0.06 1.93
Switzerland 461961 9665 2.14 77404 7918 171 2.21 1.71
Israel 448173 6631 1.50 88667 3445 29 0.85 0.77
Morocco 443802 656 0.15 42976 7538 53 0.71 1.70
Sweden 437379 0 0.00 117281 8727 0 0.00 2.00
Portugal 431623 4369 1.02 80685 7196 78 1.10 1.67
Austria 367410 1642 0.45 42359 6357 33 0.52 1.73
Saudi Arabia 363155 94 0.03 3142 6256 10 0.16 1.72
Serbia 346585 2715 0.79 75221 3364 39 1.17 0.97
Hungary 328851 856 0.26 44981 9977 93 0.94 3.03
Jordan 299831 1623 0.54 37354 3919 16 0.41 1.31
Nepal 262262 403 0.15 13018 1885 7 0.37 0.72
Panama 256230 2494 0.98 61611 4197 57 1.38 1.64
Japan 248625 3332 1.36 66314 3472 43 1.25 1.40
Georgia 229763 594 0.26 38700 2628 25 0.96 1.14
Azerbaijan 220599 334 0.15 41613 2761 28 1.02 1.25
Ecuador 215080 466 0.22 12900 14069 10 0.07 6.54
United Arab Emirates 214732 1501 0.70 28691 682 3 0.44 0.32
Croatia 213319 361 0.17 35961 4126 54 1.33 1.93
Kazakhstan 204293 730 0.36 17333 2775 4 0.14 1.36
Bulgaria 204080 1029 0.51 22536 7835 157 2.04 3.84
Belarus 201831 1869 0.93 39683 1461 10 0.69 0.72
Lebanon 192139 2861 1.51 44526 1512 13 0.87 0.79
Slovakia 188099 636 0.34 54610 2521 204 8.80 1.34
Dominican Republic 175374 2043 1.18 20190 2419 1 0.04 1.38
Costa Rica 172436 3115 1.84 19267 2229 44 2.01 1.29
Denmark 171436 2078 1.23 57794 1389 15 1.09 0.81
Bolivia 163671 1010 0.62 16326 9219 18 0.20 5.63
Armenia 160220 193 0.12 11538 2864 14 0.49 1.79
Kuwait 151715 372 0.25 5266 938 1 0.11 0.62
Lithuania 147997 1360 0.93 52976 1950 307 18.69 1.32
Moldova 146309 436 0.30 19056 3054 17 0.56 2.09
Tunisia 144796 1252 0.87 33435 4862 62 1.29 3.36
Qatar 144644 207 0.14 3523 245 0 0.00 0.17
Egypt 143464 1277 0.90 21378 7863 58 0.74 5.48
West Bank and Gaza 142228 1009 0.71 31126 1490 20 1.36 1.05
Greece 140526 427 0.30 15353 5011 54 1.09 3.57
Guatemala 138656 181 0.13 9251 4835 2 0.04 3.49
Oman 129584 180 0.14 3080 1502 1 0.07 1.16
Burma 126935 590 0.47 17423 2744 16 0.59 2.16
Ethiopia 125919 297 0.24 8677 1950 2 0.10 1.55
Slovenia 125858 772 0.62 29113 2838 35 1.25 2.25
Honduras 123398 29 0.02 8756 3181 1 0.03 2.58
Malaysia 120818 1741 1.46 35972 501 7 1.42 0.41
Venezuela 114407 177 0.15 6282 1038 4 0.39 0.91
Bosnia and Herzegovina 112645 0 0.00 11184 4131 0 0.00 3.67
Paraguay 109837 764 0.70 15614 2305 13 0.57 2.10
Ireland 107997 6110 6.00 31548 2265 6 0.27 2.10
Libya 101975 561 0.55 10618 1526 16 1.06 1.50
Algeria 100645 237 0.24 8048 2777 5 0.18 2.76

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2458100 31170 1.28 846607 26880 242 0.91 1.09 62211.13 680.30 1 in 16
Texas 1829199 18879 1.04 337257 28551 121 0.43 1.56 63084.79 984.66 1 in 16
Florida 1376692 11256 0.82 242309 22090 103 0.47 1.60 64098.56 1028.51 1 in 16
New York 1035139 11242 1.10 240186 38599 184 0.48 3.73 53210.77 1984.16 1 in 19
Illinois 984880 5059 0.52 128762 18412 90 0.49 1.87 77722.06 1452.99 1 in 13
Ohio 727423 5942 0.82 156821 9143 67 0.74 1.26 62230.88 782.18 1 in 16
Georgia 696063 5163 0.75 149505 10971 7 0.06 1.58 65558.56 1033.30 1 in 15
Pennsylvania 670039 5126 0.77 164865 16335 105 0.65 2.44 52338.66 1275.97 1 in 19
Tennessee 612250 3953 0.65 147626 7168 143 2.04 1.17 89599.65 1049.00 1 in 11
North Carolina 570111 5187 0.92 128746 6941 31 0.45 1.22 54357.97 661.80 1 in 18
Arizona 561542 5158 0.93 141294 9064 3 0.03 1.61 73742.60 1190.30 1 in 14
Michigan 543611 5490 1.02 70831 13391 85 0.64 2.46 54432.64 1340.86 1 in 18
Indiana 529688 3617 0.69 99287 8514 39 0.46 1.61 78679.56 1264.66 1 in 13
Wisconsin 527871 1626 0.31 56586 5269 8 0.15 1.00 90661.57 904.95 1 in 11
New Jersey 493102 1060 0.22 87654 19225 17 0.09 3.90 55515.81 2164.44 1 in 18
Minnesota 423688 3144 0.75 41847 5502 13 0.24 1.30 75126.89 975.60 1 in 13
Missouri 414213 1375 0.33 58106 5736 0 0.00 1.38 67489.67 934.59 1 in 15
Massachusetts 392568 4906 1.27 98337 12671 61 0.48 3.23 56488.64 1823.30 1 in 18
Alabama 374095 2161 0.58 76200 4878 5 0.10 1.30 76296.33 994.86 1 in 13
Virginia 367536 3771 1.04 82387 5132 8 0.16 1.40 43059.60 601.25 1 in 23
Colorado 343435 2185 0.64 52331 4944 10 0.20 1.44 59637.22 858.52 1 in 17
South Carolina 325472 3803 1.18 70696 5484 15 0.27 1.68 63214.23 1065.12 1 in 16
Louisiana 322181 1123 0.35 52538 7585 48 0.64 2.35 69304.21 1631.61 1 in 14
Oklahoma 306771 2699 0.89 67004 2552 5 0.20 0.83 77526.72 644.94 1 in 13
Maryland 287802 2483 0.87 50841 6027 33 0.55 2.09 47604.57 996.91 1 in 21
Iowa 286356 1641 0.58 29045 3992 46 1.17 1.39 90760.59 1265.27 1 in 11
Utah 285633 2160 0.76 49761 1305 4 0.31 0.46 89094.43 407.05 1 in 11
Kentucky 279142 2317 0.84 54253 2749 26 0.95 0.98 62480.40 615.31 1 in 16
Washington 256435 1039 0.41 43851 3482 23 0.66 1.36 33675.46 457.26 1 in 30
Arkansas 234781 1306 0.56 47724 3800 51 1.36 1.62 77798.08 1259.19 1 in 13
Kansas 234297 3983 1.73 41287 2890 18 0.63 1.23 80422.84 992.00 1 in 12
Nevada 233032 1418 0.61 43619 3206 26 0.82 1.38 75655.91 1040.86 1 in 13
Mississippi 223677 1616 0.73 42582 4884 13 0.27 2.18 75156.52 1641.05 1 in 13
Connecticut 194636 4516 2.38 40644 6168 69 1.13 3.17 54591.96 1730.02 1 in 18
Nebraska 169585 585 0.35 20241 1682 10 0.60 0.99 87667.65 869.52 1 in 11
New Mexico 147315 921 0.63 26016 2574 23 0.90 1.75 70256.09 1227.57 1 in 14
Idaho 143305 798 0.56 21088 1459 11 0.76 1.02 79966.41 814.14 1 in 13
Oregon 118453 708 0.60 23443 1506 6 0.40 1.27 28084.49 357.06 1 in 36
South Dakota 100643 111 0.11 9289 1513 0 0.00 1.50 113764.74 1710.26 1 in 9
North Dakota 93240 199 0.21 5173 1312 2 0.15 1.41 122352.25 1721.64 1 in 8
Rhode Island 92708 4759 5.41 18637 1855 78 4.39 2.00 87513.13 1751.06 1 in 11
West Virginia 91886 828 0.91 27492 1396 20 1.45 1.52 51414.91 781.13 1 in 19
Montana 82664 283 0.34 9361 975 3 0.31 1.18 77344.41 912.26 1 in 13
Puerto Rico 78805 636 0.81 15820 1555 10 0.65 1.97 24675.19 486.90 1 in 41
Delaware 60333 849 1.43 13876 937 7 0.75 1.55 61958.54 962.25 1 in 16
Alaska 48363 265 0.55 6790 218 3 1.40 0.45 66110.77 298.00 1 in 15
New Hampshire 47328 878 1.89 15453 781 1 0.13 1.65 34807.40 574.39 1 in 29
Wyoming 45257 382 0.85 5482 438 0 0.00 0.97 78196.62 756.79 1 in 13
District of Columbia 29904 140 0.47 4866 797 3 0.38 2.67 42372.00 1129.30 1 in 24
Maine 25967 375 1.47 9618 361 2 0.56 1.39 19317.64 268.56 1 in 52
Hawaii 22378 75 0.34 2603 289 0 0.00 1.29 15805.10 204.11 1 in 63
Vermont 7873 80 1.03 2016 144 4 2.86 1.83 12617.21 230.77 1 in 79

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 34127013 2458100 7.20 6574974 846607 12.88 863707.7
2 Texas 14189167 1829199 12.89 1880708 337257 17.93 489351.1
3 Florida 16095888 1376692 8.55 2159688 242309 11.22 749422.0
4 New York 25983464 1035139 3.98 3861325 240186 6.22 1335666.2
5 Illinois 13530371 984880 7.28 1661283 128762 7.75 1067752.7
6 Ohio 7929279 727423 9.17 974098 156821 16.10 678348.1
7 Georgia 5482790 696063 12.70 727260 149505 20.56 516395.5
8 Pennsylvania 3966283 670039 16.89 405830 164865 40.62 309817.7
9 Tennessee 5751015 612250 10.65 695875 147626 21.21 841631.6
10 North Carolina 7167886 570111 7.95 1120960 128746 11.49 683431.4
11 Arizona 2937589 561542 19.12 406367 141294 34.77 385768.9
12 Michigan 8294479 543611 6.55 864031 70831 8.20 830539.5
13 Indiana 5814026 529688 9.11 852658 99287 11.64 863612.1
14 Wisconsin 5423138 527871 9.73 543551 56586 10.41 931421.1
15 New Jersey 7804170 493102 6.32 1017535 87654 8.61 878631.3
16 Minnesota 5484851 423688 7.72 708342 41847 5.91 972554.8
17 Missouri 3697356 414213 11.20 347103 58106 16.74 602427.6
18 Massachusetts 11146494 392568 3.52 1522797 98337 6.46 1603926.8
19 Alabama 1903388 374095 19.65 179719 76200 42.40 388194.2
20 Virginia 4383477 367536 8.38 654464 82387 12.59 513557.2
21 Colorado 4529774 343435 7.58 719885 52331 7.27 786591.7
22 South Carolina 3282238 325472 9.92 537038 70696 13.16 637486.9
23 Louisiana 4265759 322181 7.55 461389 52538 11.39 917605.5
24 Oklahoma 2701089 306771 11.36 350843 67004 19.10 682615.3
25 Maryland 5869617 287802 4.90 808230 50841 6.29 970877.9
26 Iowa 1179621 286356 24.28 54847 29045 52.96 373881.1
27 Utah 2284687 285633 12.50 251512 49761 19.78 712637.8
28 Kentucky 3224871 279142 8.66 309396 54253 17.54 721823.4
29 Washington 3909972 256435 6.56 562069 43851 7.80 513463.8
30 Arkansas 2095621 234781 11.20 229422 47724 20.80 694414.3
31 Kansas 1024129 234297 22.88 120397 41287 34.29 351534.0
32 Nevada 2140442 233032 10.89 295135 43619 14.78 694913.5
33 Mississippi 1351335 223677 16.55 90580 42582 47.01 454054.9
34 Connecticut 4468860 194636 4.36 654525 40644 6.21 1253436.3
35 Nebraska 1775908 169585 9.55 219381 20241 9.23 918062.8
36 New Mexico 2012759 147315 7.32 271358 26016 9.59 959906.1
37 Idaho 549099 143305 26.10 43141 21088 48.88 306405.7
38 Oregon 2722777 118453 4.35 417846 23443 5.61 645554.0
39 South Dakota 376356 100643 26.74 23809 9289 39.01 425424.9
40 North Dakota 1256505 93240 7.42 84656 5173 6.11 1648822.5
41 Rhode Island 2046375 92708 4.53 287417 18637 6.48 1931706.9
42 West Virginia 1566412 91886 5.87 234429 27492 11.73 876487.5
43 Montana 810880 82664 10.19 88572 9361 10.57 758698.2
45 Delaware 1004179 60333 6.01 158387 13876 8.76 1031234.5
46 Alaska 1297498 48363 3.73 149938 6790 4.53 1773640.7
47 New Hampshire 1055767 47328 4.48 135306 15453 11.42 776464.3
48 Wyoming 514334 45257 8.80 74045 5482 7.40 888684.2
49 District of Columbia 921119 29904 3.25 138140 4866 3.52 1305165.1
50 Maine 1133981 25967 2.29 140608 9618 6.84 843602.8
51 Hawaii 828410 22378 2.70 87369 2603 2.98 585088.2
52 Vermont 712861 7873 1.10 90720 2016 2.22 1142425.6

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4918162 485933 863 0.18 9.88 3227 484 52687 25344 5.22
Veneto 3356648 266946 1682 0.63 7.95 2706 368 94956 6813 2.55
Piemonte 1697788 200506 446 0.22 11.81 2819 183 20513 7988 3.98
Campania 2072185 193165 747 0.39 9.32 1377 96 77497 2942 1.52
Emilia-Romagna 2612313 179586 1600 0.90 6.87 2684 235 56385 7941 4.42
Lazio 2752420 169254 1334 0.79 6.15 2852 318 77077 3863 2.28
Toscana 1910036 122083 313 0.26 6.39 877 141 9979 3744 3.07
Sicilia 1245638 97938 1391 1.44 7.86 1181 186 36578 2528 2.58
Puglia 1065109 94284 631 0.67 8.85 1464 137 53539 2536 2.69
Liguria 719953 61509 204 0.33 8.54 716 75 5748 2917 4.74
Friuli Venezia Giulia 947459 51582 281 0.55 5.44 663 63 11693 1731 3.36
Marche 545237 43329 355 0.83 7.95 487 65 12317 1615 3.73
Abruzzo 523233 36074 121 0.34 6.89 466 39 11205 1240 3.44
Sardegna 490740 32038 177 0.56 6.53 489 43 16726 768 2.40
P.A. Bolzano 366281 29983 37 0.12 8.19 197 25 10824 756 2.52
Umbria 509643 29494 54 0.18 5.79 274 44 3878 636 2.16
Calabria 446732 24811 221 0.90 5.55 248 19 8563 491 1.98
P.A. Trento 456758 22472 193 0.87 4.92 379 43 2065 976 4.34
Basilicata 186740 11143 41 0.37 5.97 94 4 6150 267 2.40
Valle d’Aosta 63531 7359 27 0.37 11.58 63 1 410 387 5.26
Molise 117666 6755 82 1.23 5.74 54 10 1668 197 2.92

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 212850 2546 1.21 8379 32 0.38 3.94 24930.68 981.41 1 in 40
Ontario 198929 3561 1.82 4702 38 0.81 2.36 13521.71 319.61 1 in 74
Alberta 105535 1307 1.25 1142 96 9.18 1.08 23913.78 258.77 1 in 42
British Columbia 54201 2211 4.25 946 45 4.99 1.75 10604.95 185.09 1 in 94
Manitoba 25244 118 0.47 688 5 0.73 2.73 18325.73 499.45 1 in 55
Saskatchewan 16367 284 1.77 160 2 1.27 0.98 13850.78 135.40 1 in 72
Nova Scotia 1505 6 0.40 65 0 0.00 4.32 1539.71 66.50 1 in 649
New Brunswick 635 17 2.75 9 0 0.00 1.42 814.11 11.54 1 in 1228
Newfoundland and Labrador 391 1 0.26 4 0 0.00 1.02 749.95 7.67 1 in 1333
Nunavut 266 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 96 2 2.13 0 0 NaN 0.00 606.99 0.00 1 in 1647
Yukon 65 5 8.33 1 0 0.00 1.54 1582.36 24.34 1 in 632
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 63622.07 1080.33 1 in 16
India 7734.76 111.91 1 in 129
Brazil 37046.12 939.14 1 in 27
Russia 22330.51 402.79 1 in 45
United Kingdom 40963.61 1137.07 1 in 24
France 40559.17 978.49 1 in 25
Turkey 27912.47 268.35 1 in 36
Italy 35817.53 1251.32 1 in 28
Spain 41981.23 1094.68 1 in 24
Germany 21696.05 431.79 1 in 46
Colombia 34361.75 900.49 1 in 29
Argentina 37247.35 985.63 1 in 27
Mexico 11263.30 988.83 1 in 89
Poland 34832.73 767.80 1 in 29
Iran 15395.60 685.68 1 in 65
South Africa 19628.86 529.11 1 in 51
Ukraine NA NA 1 in NA
Peru 31690.24 1175.94 1 in 32
Netherlands 48854.25 685.10 1 in 20
Indonesia 2924.63 86.78 1 in 342

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 827498 10850 1.31
Cook Illinois 401457 8483 2.11
Maricopa Arizona 346183 5241 1.51
Miami-Dade Florida 308259 4256 1.38
Harris Texas 247458 3435 1.39
San Bernardino California 208271 1449 0.70
Dallas Texas 201581 2058 1.02
Riverside California 198236 2096 1.06
Clark Nevada 176731 2424 1.37
San Diego California 171033 1598 0.93
Orange California 170579 1926 1.13
Tarrant Texas 159931 1542 0.96
Broward Florida 141993 1882 1.33
Queens New York 131464 7592 5.77
Kings New York 129252 7783 6.02
Bexar Texas 122648 1747 1.42
Salt Lake Utah 110242 562 0.51
Suffolk New York 102465 2361 2.30
El Paso Texas 99889 1708 1.71
Philadelphia Pennsylvania 95503 2488 2.61
Nassau New York 93106 2428 2.61
Milwaukee Wisconsin 92861 1004 1.08
Bronx New York 89197 5153 5.78
Hennepin Minnesota 88062 1407 1.60
Franklin Ohio 87106 698 0.80
Wayne Michigan 86878 3682 4.24
Palm Beach Florida 86275 1921 2.23
Hillsborough Florida 80586 1092 1.36
Orange Florida 80053 751 0.94
Middlesex Massachusetts 78663 2772 3.52
Pima Arizona 74963 1084 1.45
Santa Clara California 74527 747 1.00
Marion Indiana 73149 1172 1.60
Cuyahoga Ohio 73116 908 1.24
Westchester New York 72762 1683 2.31
St. Louis Missouri 71447 1392 1.95
Kern California 71033 512 0.72
Utah Utah 69491 219 0.32
Fresno California 69318 711 1.03
Shelby Tennessee 69131 939 1.36
Sacramento California 68551 857 1.25
Mecklenburg North Carolina 65809 577 0.88
King Washington 65570 1052 1.60
Duval Florida 64225 753 1.17
New York New York 63434 3357 5.29
DuPage Illinois 63396 1062 1.68
Davidson Tennessee 63317 597 0.94
Oakland Michigan 62826 1661 2.64
Essex Massachusetts 60624 1734 2.86
Oklahoma Oklahoma 60512 449 0.74
Gwinnett Georgia 60074 604 1.01
Fulton Georgia 59255 793 1.34
Providence Rhode Island 58946 1348 2.29
Fairfield Connecticut 58431 1750 2.99
Suffolk Massachusetts 56431 1387 2.46
Prince George’s Maryland 56391 1100 1.95
Allegheny Pennsylvania 56262 1055 1.88
Alameda California 55073 659 1.20
Jefferson Alabama 54349 722 1.33
Douglas Nebraska 54314 519 0.96
Hamilton Ohio 53797 419 0.78
Will Illinois 53443 792 1.48
Jefferson Kentucky 53080 543 1.02
Travis Texas 52708 554 1.05
Hidalgo Texas 52110 2208 4.24
Collin Texas 51408 380 0.74
Tulsa Oklahoma 50619 415 0.82
Macomb Michigan 50588 1636 3.23
New Haven Connecticut 49678 1578 3.18
Lake Illinois 49151 829 1.69
Hartford Connecticut 48913 1893 3.87
Denver Colorado 48605 676 1.39
Essex New Jersey 48518 2404 4.95
Bergen New Jersey 48486 2342 4.83
Montgomery Maryland 48089 1140 2.37
San Joaquin California 47886 651 1.36
Pinellas Florida 47207 1079 2.29
Cobb Georgia 46617 578 1.24
Wake North Carolina 46288 348 0.75
Middlesex New Jersey 46256 1688 3.65
Fairfax Virginia 46096 687 1.49
Hudson New Jersey 45384 1714 3.78
Worcester Massachusetts 44733 1569 3.51
Kent Michigan 44380 566 1.28
Ventura California 43747 263 0.60
Erie New York 43442 1240 2.85
Lubbock Texas 42689 576 1.35
Contra Costa California 42628 347 0.81
Lee Florida 42368 680 1.60
Kane Illinois 42355 621 1.47
El Paso Colorado 42325 582 1.38
Polk Iowa 42177 419 0.99
Bernalillo New Mexico 42012 589 1.40
Sedgwick Kansas 41361 407 0.98
Adams Colorado 41046 524 1.28
Lake Indiana 40959 614 1.50
Passaic New Jersey 40619 1462 3.60
Johnson Kansas 40379 456 1.13
Greenville South Carolina 40362 524 1.30
Denton Texas 40202 355 0.88

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc